AI Domain Solution Architect

About Us SUSE is a global leader of enterprise open source software. By transforming community innovations into secure, sovereign and AI-ready solutions, SUSE empowers customers to escape vendor lock-in and regain control of their IT destiny. Through industry-leading Linux, Kubernetes, Edge and AI infrastructure solutions, SUSE delivers the flexibility to innovate everywhere—from the data center to multi-cloud and out to the edge. Only SUSE also manages many Linux and Kubernetes distributions. At SUSE, Choice Happens because we prioritize community, interoperability and relentless innovation. Discover how we power mission-critical resilience at www.suse.com.

AI Domain Solution Architect

Job Description We are seeking an AI-focused Domain Solution Architect (DSA) to join our North America team. This role requires deep technical expertise in AI infrastructure, accelerated computing, Kubernetes, and enterprise AI platforms, combined with the ability to translate that expertise into solutions for complex customer environments.

As a Domain Solution Architect, you will be a technical specialist embedded within the sales organization, working alongside Account Executives, Solution Architects, partners, and customers to architect and validate enterprise AI solutions.

You will focus on helping customers move AI workloads from experimentation into secure, scalable, production-ready environments. The ideal candidate combines strong Kubernetes, Linux, and infrastructure architecture skills with hands-on knowledge of GPU-accelerated computing and the NVIDIA AI ecosystem.

Key Responsibilities

• Drive Technical Architecture & Solution Design: Lead discovery sessions, technical evaluations, architecture workshops, and infrastructure sizing for complex customer AI environments—translating enterprise workloads such as LLM inference, fine-tuning, and RAG into scalable architectures built on SUSE AI Factory, Rancher Prime, and the NVIDIA accelerated computing stack.
• Deliver Technical Validation & Field Sales Execution: Partner with Account Executives and field Solution Architects throughout the sales cycle to lead technical qualification, build targeted PoCs, deliver hands-on demonstrations, and develop technical proposals and RFI/RFP responses.
• Guide Agentic AI Architecture: Help customers understand the infrastructure, integration, security, and governance requirements for agentic AI, multi-agent systems, and Model Context Protocol (MCP) integrations in enterprise production environments.
• Collaborate Across the AI Ecosystem: Jointly architect customer solutions with strategic ecosystem partners—including hardware vendors, systems integrators, and cloud providers—to optimize AI compute, high-speed networking, storage, and overall platform architecture.
• Build Field Capability & Repeatable Assets: Develop reusable reference architectures, solution blueprints, demonstrations, and technical enablement materials that scale AI expertise across regional and global field teams.
• Act as the Voice of the Customer: Capture technical feedback and emerging platform requirements from customer environments and communicate them to SUSE Product Management and Engineering to help inform product direction.
• Serve as an AI Infrastructure SME: Translate complex topics—including GPU architecture and partitioning, workload scheduling, multi-tenancy, high-performance networking, storage, and air-gapped operations—into clear technical and business value for audiences ranging from platform engineers to C-suite technology executives.

Skills & Experience

• Presales Architecture Experience: Proven track record translating deep technical expertise into effective customer solutions, proposals, presentations, demonstrations, RFP responses, and hands-on workshops in a presales, solution architecture, or technical consulting role.
• Technical Communication & Leadership: Ability to simplify complex AI and infrastructure concepts for both technical and executive audiences, connecting technical architecture to business outcomes. Demonstrated ability to coordinate cross-functional teams, influence stakeholders in matrixed environments, and drive execution with a team-first mindset.
• AI Infrastructure & Accelerated Computing: Hands-on experience designing, operating, and sizing GPU-accelerated infrastructure for AI training, fine-tuning, and inference workloads. Practical understanding of GPU memory and comp…